A device for predicting the severity of covid-19 patients

Abstract

The invention discloses a device for predicting the severity of COVID-19 patients, which belongs to the intelligent processing technology of medical data. The invention includes: an input module for inputting patient information; a data preprocessing module for performing data preprocessing on the data output by the input module, if it is training data, then send the processing result to the feature selection module, if it is the data to be predicted , the processing result is sent to the prediction processing module; the feature selection module selects a certain number of features from the input features as the input feature selection result; the prediction processing module inputs the characteristic information of the patient into the preset prediction model, and The prediction results are sent to the prediction result output module for visual output. The present invention selects key features from the blood test results of patients to ensure the accuracy of prediction of severe COVID-19 patients, realizes medical assistance for rapid triage of patients with COVID-19, helps to optimize medical resources and Prompt medical intervention.

Description

technical field [0001] The invention belongs to the technical field of intelligent processing of medical data, and in particular relates to a device for predicting the severity of COVID-19 patients. Background technique [0002] Currently, more than 20 million people around the world are infected with the new coronavirus SARS-Cov-2, and 6 million people are receiving treatment. This poses a huge threat to the health and lives of people all over the world, and has also put unprecedented pressure on the medical system. [0003] Most COVID-19 patients have mild / moderate cases and recover on their own. However, about 14% of patients were severe cases and 5% were critical cases. Severe / critical cases usually develop into acute respiratory distress syndrome (ARDS) or multiple organ dysfunction syndrome (MODS) within 2 weeks after infection, which consumes a lot of medical resources and leads to a high case fatality rate (up to 49% ). Early prediction of the severity of COVID-1...

AI Technical Summary

Problems solved by technology

However, due to the limited resources of community hospitals, there are many limitations in completing all four examinations in a short time (eg, the capacity of the waiting room, the waiting time for examination results and the disinfection of examination instruments, etc.)

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